of the process for generating the ontology with the
support of the PM2ONTO tool was exemplified
using a real model in this paper.
In order to validate the ontology, criteria based on
the works of Fanesi et al. (2015) and Pizzoleto and
Oliveira (2017) are being elaborated. For this,
organized questions about various aspects of the
business processes model are key tools.
The alternative way of representing a business
process model using an ontology brings several
benefits. Whereas ontologies generated are readable
structures and manipulated by machine, they allow
the application of various techniques and interactions
with digital systems.
The navigation of the model through the ontology
allows better understanding of the activities and
resources, complementing the knowledge about the
business process model. Knowledge can be
embedded in the ontology and shared between
business teams and other interested teams, such as the
IT teams. This helps to approximate the views of
business and IT teams and, consequently, assists the
processes of Requirements Engineering for software
being developed for the organization.
Using ontology integration techniques, business
process models can be integrated, providing broader
queries of interest to the organization. Text mining
techniques can be applied to ontologies, allowing to
improve the system of strategic queries. Information
visualization techniques can also be applied to
business process models using their ontological
representations.
REFERENCES
Apache Software Foundation. (2017), “Apache Jena – a
free and open source java framework for building
Semantic Web and Linked Data applications”, avaliable
at: https://jena.apache.org.
BOC Group. (2013), “Business Process Management with
Adonis”, avaliable at: https://uk.boc-group.com/adonis.
Correia, A. and Abreu, F. B. (2015), “Enhancing the
correct-ness of BPMN models”, in Varajão, J. E. Cruz-
Cunha, M. M. and Martinho, R. (Eds.), Improving
organiza-tional effectiveness with Enterprise
Information Systems, Hershey: IGI Global, pp. 241-
261.
Fanesi, D., Cacciagrano, D. R. and Hinkelmann, K. (2015),
“Semantic Business Process Representation to Enhance
the Degree of BPM Mechanization - An Ontology”,
Proceedings of IEEE International Conference On
Enterprise Systems, Basel, pp. 21-32.
Gábor, A. and Kö, A. (2016), “Corporate Knowledge
Discovery and Organizational Learning: The Role,
Importance, and Application of Semantic Business
Process Management”, Knowledge Management and
Organizational Learning, Springer International
Publishing.
Gómez-Pérez, J., M. (2010), Studies on the Semantic Web:
Acquisition and Understanding of Process Knowledge
Using Problem Solving Methods, IOS Press,
Amsterdam.
Guido, A., Pandurino, A. and Paiano, R. (2016), “An
Ontological Meta-Model for Business Process Model
and Notation”, International Journal of Business
Research and Management (IJBRM), Vol. 7, pp. 1-13.
Haller, A., Marmolowski, M., Oren, E. and Gaaloul, W.
(2007), “oXPDL: a Process Model Exchange
Ontology”, DERI–Digital Enterprise Research
Institute.
Missikoff, M., Proietti, M. and Smith, F. (2010), “Linking
ontologies to business process schemas”, IASI-CNR
Tech, Vol. 20, pp. 1-20.
Nogueira, F. A. and Oliveira, H. C. (2017), “Application of
heuristics in business process models to support
software requirements specification”, Proceedings of
the 19th International Conference on Enterprise
Information Systems, Funchal, pp. 1-12.
Pizzoleto, A. V. and Oliveira, H. C. (2016), “A systematic
approach to evaluate enterprise ontologies using testing
techniques of software usability”. Proceedings of the
14th International Conference on Software
Engineering Research and Practice, Las Vegas, pp.
125-131.
Przybylek, A. (2014), “A business-oriented approach to
requirements elicitation”, Proceedings of the 9th
International Conference on Evaluation of Novel
Approaches to Software Engineering, Lisbon, pp. 1-12.
Ternai, K., Török, M. and Varga, K. (2016), “Corporate
Semantic Business Process Management”, in Gábor, A.
and Kõ, A. (Eds.), Corporate Knowledge Discovery
and Organizational Learning: The Role, Importance,
and Application of Semantic Business Process
Management, Springer Internationl Publishing, pp. 33-
57.